Stargazer描述表不计算R中的数据

我正试图用Stargazer创建一个描述性表格（导出到LaTeX）。出于某种原因，在某些数据集中，如下面的数据集中，它只生成第一行（表的列标题）

我不知道为什么会这样。看来我的数据有问题。我看到了一个类似的问题，但所需的表格不是汇总统计数据。在我的例子中，如果我执行这里介绍的解决方案（将数据集转换为矩阵），则生成的表是整个数据集的表，而不是描述性统计数据

下面是一个示例数据的代码，以及我试图生成的表

df <- structure(list(country = structure(c(26L, 5L, 26L, 25L, 25L, 
3L, 27L, 27L, 27L, 6L, 27L, 26L, 6L, 10L, 1L, 5L, 27L, 20L, 27L, 
10L, 26L, 1L, 2L, 15L, 10L, 1L, 26L, 17L, 9L, 7L, 11L, 1L, 26L, 
20L, 27L, 6L, 1L, 25L, 9L, 2L, 22L, 15L, 23L, 27L, 9L, 27L, 8L, 
27L, 19L, 24L, 20L, 19L, 22L, 26L, 26L, 10L, 10L, 16L, 20L, 25L, 
2L, 26L, 1L, 27L, 11L, 1L, 2L, 8L, 25L, 27L, 26L, 9L, 10L, 4L, 
9L, 27L, 7L, 19L, 27L, 26L, 6L, 17L, 11L, 16L, 16L, 26L, 27L, 
26L, 27L, 14L, 23L, 27L, 23L, 10L, 9L, 23L, 22L, 26L, 26L, 27L
), .Label = c("Austria", "Belgium", "Bulgaria", "Cyprus", "Czech Republic", 
"Denmark", "Estonia", "Finland", "France", "Germany", "Greece", 
"Hungary", "Ireland", "Italy", "Latvia", "Lithuania", "Luxembourg", 
"Malta", "Netherlands", "Poland", "Portugal", "Romania", "Slovakia", 
"Slovenia", "Spain", "Sweden", "United Kingdom"), class = "factor"), 
    ptyname_eng = structure(c("Centre Party", "Green Party", 
    "Moderate Party", "Europe of the Peoples-The Greens", "Europe of the Peoples-The Greens", 
    "Order, Lawfulness, and Justice (RZS)", "Labour", "Green Party", 
    "Labour", "Liberal Party", "Independent", "Liberal People's Party", 
    "Danish People's Party", "Free Democratic Party", "Austrian People's Party", 
    "Christian and Democratic Union-Czechoslovak People's Party", 
    "Green Party", "Coalition Agreement for the Future - CenterLeft", 
    "UK Independence Party (UKIP)", "Free Democratic Party", 
    "Centre Party", "The Greens", "Ecolo", "Libertas", "Free Voters", 
    "The Greens", "Centre Party", "Christian Social People's Party", 
    "Europe Écologie", "People's Union of Estonia", "Action", 
    "Communist Party of Austria", "Centre Party", "Coalition Agreement for the Future - CenterLeft", 
    "Jury Team", "Social Democrats", "Austrian People's Party", 
    "Union, Progress, and Democracy", "The Left Front (Left Party + French Communist Party)", 
    "Ecolo", "Greater Romania Party", "Harmony Centre", "Green Party", 
    "Green Party", "Socialist Party", "No2EU: Yes to Democracy", 
    "Social Democratic Party of Finland", "Conservatives", "Libertas", 
    "For Real", "Civic Platform", "Christian Union-Reformed Political Party", 
    "Democratic Liberal Party", "Sweden Democrats", "Green Party", 
    "Free Democratic Party", "Christian Democratic Union/Christian Social Union", 
    "Civic Democratic Party", "Civic Platform", "Union, Progress, and Democracy", 
    "Christian Democratic and Flemish Party", "Pirate Party", 
    "The Greens", "Socialist Labour Party SLP", "New Democracy", 
    "The Greens", "Christian Democratic and Flemish Party", "Left Alliance", 
    "Union, Progress, and Democracy", "British National Party (BNP)", 
    "Left Party", "The Left Front (Left Party + French Communist Party)", 
    "Christian Social Democrats", "Progressive Party of Working People", 
    "Socialist Party", "UK Independence Party (UKIP)", "Social Democratic Party", 
    "Democrats 66", "Mebyon Kernow", "June List", "Socialist People's Party", 
    "Christian Social People's Party", "New Democracy", "Frontas Party", 
    "Homeland Union - Lithuanian Christian Democrats", "Liberal People's Party", 
    "No2EU: Yes to Democracy", "Centre Party", "Pro Democracy: Libertas.eu", 
    "Anticapitalist List", "Conservative Democrats of Slovakia", 
    "Christian Party - Christian People's Alliance", "Slovak Democratic and Christian Union", 
    "Free Democratic Party", "Europe Écologie", "Direction - Social Democracy", 
    "Democratic Union of Hungarians in Romania", "Centre Party", 
    "Liberal People's Party", "Conservatives"), label = "Party name (in English)", format.stata = "%75s"), 
    votes = c(5.47, 2.06, 18.83, 2.49, 2.49, 4.67, 15.7, 8.6, 
    15.7, 20.23, NA, 13.58, 15.28, 11, 29.98, 7.64, 8.6, 2.44, 
    16.5, 11, 5.47, 9.93, 8.64, 4.3, 1.7, 9.93, 5.47, 31.32, 
    16.28, 2.2, 0.76, 0.66, 5.47, 2.44, 0.5, 21.49, 29.98, 2.85, 
    6.05, 8.64, 8.65, 19.57, 2.11, 8.6, 16.48, 1.01, 17.5, 27.7, 
    0.32, 9.76, 44.43, 6.82, 29.71, 3.27, 11.02, 11, 30.7, 1.35, 
    44.43, 2.85, 14.43, 7.13, 9.93, 1.1, 32.3, 9.93, 14.43, 5.9, 
    2.85, 6.2, 5.66, 6.05, 7.2, 34.9, 16.48, 16.5, 8.7, 11.32, 
    0.1, 3.55, 15.86, 31.32, 32.3, 2.43, 26.86, 13.58, 1.01, 
    5.47, 0.5, 3.39, 2.1, 1.6, 16.98, 11, 16.28, 32.01, 8.92, 
    5.47, 13.58, 27.7), seats = c(1, 0, 4, 1, 1, 0, 13, 2, 13, 
    3, NA, 3, 2, 12, 6, 2, 2, 0, 13, 12, 1, 2, 2, 0, 0, 2, 1, 
    3, 14, 0, 0, 0, 1, 0, 0, 4, 6, 1, 4, 2, 3, 2, 0, 2, 14, 0, 
    2, 25, 0, 1, 25, 2, 10, 0, 2, 12, 34, 0, 25, 1, 3, 1, 2, 
    0, 8, 2, 3, 0, 1, 2, 1, 4, 8, 2, 14, 13, 1, 3, 0, 0, 2, 3, 
    8, 0, 4, 3, 0, 1, 0, 0, 0, 0, 2, 12, 14, 5, 3, 1, 3, 25), 
    lsq = c(5.65121280548163, 11.0409569967897, 5.65121280548163, 
    2.09070598337411, 2.09070598337411, 18.4291883786975, 7.64222053188085, 
    7.64222053188085, 7.64222053188085, 8.49009926343377, NA, 
    5.65121280548163, 8.49009926343377, 4.03227351136326, 5.21894849144935, 
    11.0409569967897, 7.64222053188085, 4.87412556260095, 7.64222053188085, 
    4.03227351136326, 5.65121280548163, 5.21894849144935, 4.16813185258047, 
    9.99651439252703, 4.03227351136326, 5.21894849144935, 5.65121280548163, 
    14.683991850538, 10.16545, 10.829844309951, 3.4795321239576, 
    5.21894849144935, 5.65121280548163, 4.87412556260095, 7.64222053188085, 
    8.49009926343377, 5.21894849144935, 2.09070598337411, 10.1654489717407, 
    4.16813185258047, 2.66691671130863, 9.99651439252703, 7.88621704182489, 
    7.64222053188085, 10.1654489717407, 7.64222053188085, 6.48086623985829, 
    7.64222053188085, 3.63340749159794, 10.4201368043039, 4.87412556260095, 
    3.63340749159794, 2.66691671130863, 5.65121280548163, 5.65121280548163, 
    4.03227351136326, 4.03227351136326, 8.7655582315738, 4.87412556260095, 
    2.09070598337411, 4.16813185258047, 5.65121280548163, 5.21894849144935, 
    7.64222053188085, 3.4795321239576, 5.21894849144935, 4.16813185258047, 
    6.48086623985829, 2.09070598337411, 7.64222053188085, 5.65121280548163, 
    10.1654489717407, 4.03227351136326, 6.81012399952372, 10.1654489717407, 
    7.64222053188085, 10.829844309951, 3.63340749159794, 7.64222053188085, 
    5.65121280548163, 8.49009926343377, 14.683991850538, 3.4795321239576, 
    8.7655582315738, 8.7655582315738, 5.65121280548163, 7.64222053188085, 
    5.65121280548163, 7.64222053188085, 6.15555836341693, 7.88621704182489, 
    7.64222053188085, 7.88621704182489, 4.03227351136326, 10.16545, 
    7.88621704182489, 2.66691671130863, 5.65121280548163, 5.65121280548163, 
    7.64222053188085), v020_03 = c(5, 5, 3, 5, 5, 3, 5, 5, 3, 
    NA, 5, 5, 3, 4, 3, 2, 5, NA, 4, 5, 5, 5, 5, NA, 2, 5, 4, 
    5, 5, 2, NA, NA, 5, 5, 2, 5, 3, 4, 5, 5, 3, 5, 5, 5, 5, 5, 
    5, 3, 3, NA, 2, 2, 3, 1, 5, 5, 1, 3, 3, NA, 1, 5, 5, 5, 3, 
    5, 5, 5, 4, 2, NA, 5, 1, 3, 2, 3, NA, 5, 5, 4, NA, 4, 2, 
    NA, 2, 5, 5, 5, 3, 5, 2, 1, 3, 3, 5, NA, 4, 5, 5, 1), v020_04 = c(5, 
    4, NA, 1, 3, 5, 3, 2, 2, NA, 2, 4, 4, 5, 5, 2, 1, NA, 4, 
    5, 5, 2, 5, NA, 3, 3, 4, 4, 3, 4, NA, NA, 3, 3, 4, 1, 5, 
    4, 2, 5, 1, 5, 3, 4, 2, 1, 4, 5, 3, NA, 3, 4, 4, 4, 3, 5, 
    5, 2, 4, NA, 1, 1, 3, 1, 3, 2, 2, 2, 3, 3, NA, 1, 1, 3, 2, 
    4, NA, 5, 2, 3, NA, 5, 2, NA, 2, 2, 1, 4, 5, 3, 4, 3, 4, 
    5, 1, NA, 3, 2, 4, 5), v020_08 = c(5, 3, 3, 1, 3, 5, 3, 1, 
    2, NA, 2, 3, 4, 5, 5, 5, 1, NA, 5, 5, NA, 2, 3, NA, 4, 2, 
    3, 4, 1, 3, NA, NA, 3, 2, 3, 1, 4, 2, 1, 3, 1, 2, 3, 2, 1, 
    1, 3, 3, 3, NA, 4, 2, 4, 3, 2, 2, 5, 3, 4, NA, 2, 3, 1, 1, 
    3, 3, 2, 2, 3, 3, NA, 1, 5, 4, 1, 3, NA, 4, 2, 3, NA, 2, 
    3, NA, 2, 4, 1, 4, 1, 1, 4, 3, 4, 4, 1, NA, 5, 5, 3, 3), 
    v018_1 = c(8, 5, 5, 1, 3, 9, 3, 2, 2, NA, NA, 5, 5, 5, 7, 
    7, 1, NA, 7, 5, 6, 4, 3, NA, 8, 4, 5, 6, 0, 5, NA, NA, 5, 
    2, 7, 3, 8, 4, 0, 4, 0, 7, 7, NA, 0, 0, 3, 8, 5, NA, 7, 5, 
    10, 8, 4, 5, 8, 5, 8, NA, 5, 2, 0, 10, 6, 3, 3, 2, 4, 6, 
    NA, 0, 8, 4, 0, 6, NA, 4, 3, 5, NA, 7, 6, NA, 9, 8, 0, 6, 
    5, 0, 8, 6, 8, 5, 2, NA, 6, 5, 7, 7), v020_05 = c(1, 1, 1, 
    1, 3, 1, 1, 1, 2, NA, 1, 2, 4, 2, 4, 3, 1, NA, 3, 2, 1, 1, 
    4, NA, 2, 1, 2, 3, 1, 1, NA, NA, 2, 1, 1, 1, 2, 4, 1, 2, 
    1, 1, 1, 1, 1, 1, 1, 1, 3, NA, 5, 4, 1, 4, 2, 2, 1, 4, 2, 
    NA, 3, 1, 1, 1, 1, 1, 2, 1, 3, 4, NA, 1, 4, 3, 1, 3, NA, 
    1, 1, 2, NA, 4, 1, NA, 4, 2, 1, 1, 3, 1, 4, 2, 2, 4, 1, NA, 
    1, 2, 1, 5), v020_02 = c(1, 3, 1, 5, 4, 1, 3, 5, 4, NA, 3, 
    2, 3, 2, 1, 3, 5, NA, 1, 1, 1, 5, 4, NA, 1, 2, 2, 1, 5, 2, 
    NA, NA, 3, 3, 1, 5, 3, 2, 5, 4, 1, 2, 2, 5, 5, 5, 3, 3, 1, 
    NA, 1, 4, 1, 2, 4, 1, 1, 3, 1, NA, 3, 4, 4, 4, 3, 4, 5, 4, 
    2, 3, NA, 5, 1, 2, 2, 1, NA, 2, 3, 2, NA, 1, 2, NA, 2, 2, 
    5, 2, 1, 4, 2, 4, 2, 2, NA, NA, 2, 3, 1, 1)), row.names = c(NA, 
-100L), class = c("tbl_df", "tbl", "data.frame"))

stargazer (df)
stargazer(as.matrix(df)
df <- as.matrix(df)
stargazer(df)

---

df将数据转换为数据帧

stargazer::stargazer(data.frame(df))

使用
type='text'

stargazer::stargazer(data.frame(df), type = 'text')

===========================================================
Statistic N   Mean  St. Dev.  Min  Pctl(25) Pctl(75)  Max  
-----------------------------------------------------------
votes     99 11.784  10.443  0.100  3.330    16.380  44.430
seats     99 4.515   6.649   0.000  0.500    4.000   34.000
lsq       99 6.627   2.903   2.091  4.521    7.886   18.429
v020_03   88 3.852   1.352   1.000  3.000    5.000   5.000 
v020_04   87 3.172   1.340   1.000  2.000    4.000   5.000 
v020_08   87 2.828   1.278   1.000  2.000    4.000   5.000 
v018_1    86 4.767   2.660   0.000  3.000    7.000   10.000
v020_05   88 1.966   1.198   1.000  1.000    3.000   5.000 
v020_02   87 2.667   1.403   1.000  1.000    4.000   5.000 
-----------------------------------------------------------

我们还可以转换为
tibble

stargazer::stargazer(as_tibble(df))